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These functions used to live in pkgs/development/haskell-modules/default.nix,
but they are generic, really, and should be easily accessible to everyone.
This update was generated by hackage2nix v20150922-45-g1161457 using the following inputs:
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This update was generated by hackage2nix v20150922-36-ge0ee7ef using the following inputs:
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This update was generated by hackage2nix v20150922-35-g816abb5 using the following inputs:
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This update was generated by hackage2nix v20150922-35-g816abb5 using the following inputs:
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This update was generated by hackage2nix v20150922-27-g14f44af using the following inputs:
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This update was generated by hackage2nix v20150922-4-g3df9130 using the following inputs:
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This update was generated by hackage2nix v20150903-85-gaab3160 using the following inputs:
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This update was generated by hackage2nix v20150903-82-g351b6f8 using the following inputs:
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These changes ensure that jailbreak-cabal works correctly without further
configuration even with older compilers. The exception to that rule being,
naturally, versions of GHC that can't compile Cabal 1.20.x; these *do* need
another override.
This seems to have been confusing people, using both xlibs and xorg, etc.
- Avoided renaming local (and different) xlibs binding in gcc*.
- Fixed cases where both xorg and xlibs were used.
Hopefully everything still works as before.
This effectively reverts 86c283824f
("If cuda headers are presented to nix [...]") and all the following
workarounds that was added due to that commit.
As far as I can tell[1] this hack isn't needed anymore. And moving
includes to $out/usr_include causes pain for cudatoolkit users, so
better get rid of it.
In patches that did more than the $out/usr_include workaround, I only
changed the line back to $out/include instead of re-generating the
patches and fully removing the changed line.
[1]: I build tested blender and caffe, and temporarily added
recurseIntoAttrs to rPackages and haskellPackages so that nox-review
could get proper coverage. However, many of the packages do not build
even before this patch. I also built CUDA samples with cudatoolkit7
that ran fine.
